Gaharu Sensor: Classification using Case Based Reasoning (CBR)

Agriculture was an important industry, which has an economic impact of trading goods for others application such as perfume, aromatherapy and others. Agar wood one of high value products that give economic impact for several of the countries which price of agar wood to its certain grade. The grades were manipulated by traders to get higher price using lower grade. This paper proposed the intelligence classification technique using an Electronic Nose (E-nose) measurement. The sensor array in the E - nose are used for the inputs of the Case Based Reasoning (CBR) for intelligent classification. The experimental result shows that the technique accomplished to classify with high accuracy which is 96.3% nearly to 100% of accuracy.

[1]  David H. Jonassen,et al.  Case-based reasoning and instructional design: Using stories to support problem solving , 2002 .

[2]  Sokima Surita Comparison between chemical compounds in gaharu smoke (burning) and gaharu oil (hidrodistillation) , 2008 .

[3]  Tajuddin Saiful Nizam,et al.  Differentiating Agarwood Oil Quality Using Artificial Neural Network , 2013 .

[4]  Janet L. Kolodner,et al.  An introduction to case-based reasoning , 1992, Artificial Intelligence Review.

[5]  Alias Radam,et al.  Costs and benefits analysis of Aquilaria species on plantation for agarwood production in Malaysia , 2010 .

[6]  Nurlaila Ismail,et al.  The grading of agarwood oil quality using k-Nearest Neighbor (k-NN) , 2013, 2013 IEEE Conference on Systems, Process & Control (ICSPC).

[7]  Zheng Zhang,et al.  Production of high-quality agarwood in Aquilaria sinensis trees via whole-tree agarwood-induction technology , 2012 .

[8]  Nurlaila Ismail,et al.  ANALYSIS OF HIGH QUALITY AGARWOOD OIL CHEMICAL COMPOUNDS BY MEANS OF SPME/GC-MS AND Z-SCORE TECHNIQUE (Analisa Bahan Minyak Gaharu Berkualiti Tinggi Dengan Cara Z-Score) , 2013 .

[9]  Hin Fui Lim,et al.  Production, use and trade of gaharu in Peninsular Malaysia , 2007 .

[10]  Rasmina Halis,et al.  Microscopic Observation of 'Gaharu' Wood from Aquilaria malaccensis , 2013 .

[11]  G. Persoon,et al.  Agarwood: the life of a wounded tree , 2007 .

[12]  J. Mailina,et al.  CLASSIFICATION OF AGARWOOD (GAHARU) BY RESIN CONTENT , 2013 .

[13]  M. N. Taib,et al.  Classification of Agarwood using ANN , .

[14]  Chen Hin Keong,et al.  Heart of the matter: Agarwood use and trade and CITES implementation for Aquilaria malaccensis , 2000 .

[15]  C. M. Hasfalina,et al.  Optimization and Kinetic Study of Gaharu Oil Extraction , 2013 .

[16]  Regula Naef,et al.  The volatile and semi‐volatile constituents of agarwood, the infected heartwood of Aquilaria species: a review , 2011 .

[17]  M. N. Taib,et al.  Agarwood classification: A Case-Based Reasoning approach based on E-nose , 2012, 2012 IEEE 8th International Colloquium on Signal Processing and its Applications.

[18]  Fred V. Carstensen,et al.  Economic Impacts of Connecticut’s Agricultural Industry , 2010 .

[19]  Mohd Nasir Taib,et al.  Classification of Agarwood grades using ANN , 2011, International Conference on Electrical, Control and Computer Engineering 2011 (InECCE).